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Life Sciences Commons

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Forest Sciences

Biodiversity

University of Nebraska - Lincoln

2011

Articles 1 - 2 of 2

Full-Text Articles in Life Sciences

Carrying Capacity For Species Richness As A Context For Conservation: A Case Study Of North American Breeding Birds, Andrew J. Hansen, Linda Bowers Phillips, Curtis H. Flather, Jim Robinson-Cox Jan 2011

Carrying Capacity For Species Richness As A Context For Conservation: A Case Study Of North American Breeding Birds, Andrew J. Hansen, Linda Bowers Phillips, Curtis H. Flather, Jim Robinson-Cox

USDA Forest Service / UNL Faculty Publications

Aim To demonstrate that the concept of carrying capacity for species richness (SK) is highly relevant to the conservation of biodiversity, and to estimate the spatial pattern of SK for native landbirds as a basis for conservation planning.

Location North America.

Methods We evaluated the leading hypotheses on biophysical factors affecting species richness for Breeding Bird Survey routes from areas with little influence of human activities.We then derived a best model based on information theory, and used this model to extrapolate SK across North America based on the biophysical predictor variables. The predictor variables included the …


Heat Waves Measured With Modis Land Surface Temperature Data Predict Changes In Avian Community Structure, Thomas P. Albright, Anna M. Pidgeon, Chadwick D. Rittenhouse, Murray K. Clayton, Curtis H. Flather, Patrick D. Culbert, Volker C. Radeloff Jan 2011

Heat Waves Measured With Modis Land Surface Temperature Data Predict Changes In Avian Community Structure, Thomas P. Albright, Anna M. Pidgeon, Chadwick D. Rittenhouse, Murray K. Clayton, Curtis H. Flather, Patrick D. Culbert, Volker C. Radeloff

USDA Forest Service / UNL Faculty Publications

Heat waves are expected to become more frequent and severe as climate changes, with unknown consequences for biodiversity. We sought to identify ecologically-relevant broad-scale indicators of heat waves based on MODIS land surface temperature (LST) and interpolated air temperature data and assess their associations with avian community structure. Specifically, we asked which data source, time periods, and heat wave indices best predicted changes in avian abundance and species richness. Using mixed effects models, we analyzed associations between these indices and data from the North American Breeding Bird Survey in the central United States between 2000 and 2007 in four ecoregions …